upGrad

Master of Science in Data Science - Liverpool John Moores University and IIIT Bangalore

This program is ideal for:

• Individuals with technical backgrounds.
• Software Engineers, System Analysts, Database Administrators seeking advanced analytics.
• Data Analysts, Data Scientists, ML Engineers who aspire to grow in their respective professions.
• Sales Professionals, IT Engineers, Product Managers, and other non-technical individuals aspiring to make a career in data science or grow in the same field.

Core Curriculum

The core phase of the curriculum will equip you with the most up-to-date and industry-relevant skills and technologies for data science and machine learning, such as programming and mathematics, data analysis tools and techniques, cloud computing and big data analytics, and foundational topics in machine learning, deep learning, and natural language processing.

Topics

Advanced Mathematics for Data Science and Machine Learning
Master essential mathematical concepts to understand how to work with large amounts of data and train efficient machine learning models

• Conditional Probability and Probability Distributions
• Advanced Linear Algebra and Linear Transformations
• Multivariate Calculus

Advanced Programming for Data Science and Machine Learning

Wrangle real-world data using universal programming languages such as Python and SQL, and use Gen AI for generating and debugging code faster

• Gen AI for Coding and Problem-Solving
• Object-Oriented Programming
• Python Data Science Libraries
• Database Design and SQL Querying with MySQL
• Introduction to NoSQL Databases

Data Analysis and Exploration
Implement industry-standard statistical methods using tools such as Python, Tableau, and Power BI to analyse data and derive business insights

• Data Analysis with Python Exploratory
• Data Analysis Inferential Statistics and Hypothesis Testing
• Data Analysis and Visualisation with Power BI and Tableau

Cloud Computing and Big Data Fundamentals
Take your data processing and analysis workflows to the cloud and work with larger amounts of data to derive enterprise-scale business insights

• Cloud Computing with AWS, GCP, Microsoft Azure
• Big Data Analysis with PySpark

Foundations of Machine Learning
Train industry-standard machine learning models to automate insight generation and predict business metrics behaviour

• Machine Learning Paradigms
• Linear and Logistic Regression
• K Nearest Neighbors Regularisation and Hyperparameter Tuning
• Decision Trees and Ensembles
• Clustering Models

Deep Learning and Natural Language Processing
Build and train deep neural network models for different kinds of business data, such as images and sequences

• Artificial Neural Networks
• Convolutional and Recurrent Neural Networks
• Lexical, Syntactic, and Semantic Processing

Deployment Fundamentals
Share and deploy your insights and machine learning models so that other collaborators can work with your contributions

• Containerisation and Deployment
• Tools Version Control

Projects

• Querying with SQL: Analyse Spotify music data for targeted recommendations or NDAP insurance data for risk assessment
• Exploratory Data Analysis: Analyse NYC taxi operations for efficient taxi positioning or US beer production data for better brewery operation management
• Big Data Analysis: Analyze Mercari products data for better targeted recommendations or customer interaction data to enhance customer engagement
• Linear Regression: Predict household energy consumption using appliance energy readings data to increase power consumption efficiency or parcel delivery time for Porter using historical delivery data for better planning and management
• Deep Learning: Predict stock prices of Microsoft, Amazon, Google, IBM, using their historical stock price variations or temperature/pressure readings in Morocco using historical weather data

With a heritage that stretches back to Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction. There are 5 Faculties within the university which are: Business & Law, Arts, Professional & Social Studies, Health, Science, Engineering & Technology. The university is well regarded for its esteemed faculty & teaching as well as research & also for student satisfaction. With an M.Sc. from this university, you are sure to be able to access global job opportunities.

IIITB is a renowned university offering programs specializing in data science, machine learning, and artificial intelligence. IIITB’s faculty bring with them an average of 15 years of experience. The faculty covers the conceptual depths of topics such as Data Science, Machine Learning and AI, and Big Data Analytics. These will be complemented by relevant industry case studies from major industry verticals by industry leaders with 10+ yrs of experience from upGrad’s industry network. The Executive Diplomas in DS and ML have been developed with the experienced faculty of IIITB in collaboration with Industry experts & upGrad to bring you a cutting-edge edge curriculum with industry relevance. The strong placement network, industry mentorship and the credibility of this Executive Diploma from IIITB will provide you with just the right push to accelerate your career in Machine Learning and AI!

By the end of the Master of Science in Data Science, you will:

• Master Core Data Science Skills: Gain hands-on proficiency in Python, R, SQL, Machine Learning, Deep Learning, and advanced statistical techniques.
• Build Predictive & Prescriptive Models: Develop the ability to design, test, and deploy models that anticipate trends and inform smarter decision-making.
• Harness Big Data & Cloud Tools: Work with real-world datasets and industry-standard platforms to manage, analyze, and visualize data at scale.
• Apply AI in Business Contexts: Learn how Artificial Intelligence, Natural Language Processing, and Computer Vision can solve organizational challenges.
• Translate Data into Business Impact: Bridge the gap between data insights and executive decision-making by effectively communicating results to stakeholders.
• Capstone & Industry Projects: Apply learning to real-world problems through guided projects, ensuring job-ready portfolios that showcase measurable impact.

Future-Readiness: Graduate with the confidence and versatility to adapt to the fast-changing data landscape, positioning yourself as a strategic asset to any organization.

The demand for data-driven professionals continues to surge across industries such as finance, healthcare, e-commerce, consulting, and technology. With this degree, you will be prepared for impactful roles such as:

• Data Scientist – Design and implement predictive models to drive product and business decisions.
• Machine Learning Engineer – Develop and deploy intelligent systems that power automation and innovation.
• Data Analyst / Business Analyst – Uncover insights from data to support operational and strategic planning.
• Big Data Engineer – Build scalable data pipelines and architectures for enterprise-wide solutions.
• AI Specialist / NLP Engineer – Leverage AI, natural language processing, and computer vision to solve domain-specific challenges.
• Product Analyst / Growth Analyst – Use data storytelling to influence product roadmaps and growth strategies.
• Consultant – Data & AI – Guide organizations in adopting data-driven approaches for competitive advantage.
• Leadership Tracks – With growing experience, move into roles such as Head of Analytics, Chief Data Officer, or Director of AI Strategy.

Graduates also gain the flexibility to pursue opportunities in startups, global enterprises, and research labs, or even launch their own data-driven ventures.

Liverpool John Moores University (LJMU) and the International Institute of Information Technology Bangalore (IIITB) are two renowned institutions that offer unparalleled advantages to students, combining global recognition, academic excellence, and a strong focus on employability.

Here’s why you should choose studying with upGrad and enroll in this program:

Global Recognition and Academic Excellence

Liverpool John Moores University (LJMU)

• Prestigious Rankings: Recognized by QS World University Rankings, THE (Times Higher Education), and US News for its academic rigor, innovative teaching, and global outlook.
• UK-Based Education System: Offers a globally respected curriculum that balances academic theory with practical skills, ensuring graduates are industry-ready.
• Research Excellence: LJMU emphasizes research-driven learning, equipping students with critical thinking and problem-solving skills to excel globally.

International Institute of Information Technology Bangalore (IIITB)

• Top-Tier Institution: Ranked 74th in the Engineering category of the NIRF (2024), IIITB is a premier institute, known for excellence in computer science and data science education.
• Cutting-Edge Programs: Offers innovative, research-focused programs that stay ahead of technological advancements.
• National Recognition: A leader in AI, machine learning, and analytics education, setting benchmarks for innovation and academic quality.

Affordable and Accessible Education

LJMU

• Value for Money: With tuition fees nearly 1/10th of what most on-campus master in data science programs charge, this program offers an unparalleled return on investment.
• Global Opportunities: Provides students with exposure to a multicultural learning environment and international career pathways.

IIITB

• Affordable Excellence: Delivers high-quality education at a fraction of the cost of global alternatives.
• Flexible Learning: Tailored programs for working professionals allow for seamless balance between work and study.

Research and Innovation

LJMU

• Focuses on research-driven learning to cultivate innovation and critical thinking.
• Encourages students to tackle real-world problems, fostering a mindset of creativity and adaptability.

IIITB

• Renowned for leadership in AI, emerging technologies, and advanced research.
• Regularly updates curricula to integrate the latest advancements in technology, ensuring students are future-ready.

• Study Mode: 100% Online
• Duration: 18 Months